Funded by the Iowa Nutrient Reduction Center this project aims to: 1) document prediction accuracy of APSIM in terms of N leaching and crop yield across eight fields that represent different regions in Iowa, and 2) quantify via modeling the effect
Funded by NSF (LEAP-HI/GOALI) this project aims to: 1) accurately predict plant phenotypes based on genetic, agronomic management and environmental data; 2) design cultivars with superior phenotypes; 3) design crop management strategies to as
Funded by FFAR and Bayer Crop Science this project will 1) determine changes in plant traits over 40 years of plant breeding and genetic gain in Bayer’s legacy hybrids; 2) determine the impact of plant breeding on sustainability and rank the impor
This project developed to forecast and benchmark in soil water and nitrogen dynamics across scales and disseminate information in real-time to support decision making.
Funded by FFAR, New Innovator Award, this project aims to 1) develop protocols to enable simulation of water table dynamics in crop models across the landscape; 2) develop new mechanisms to relate excessive moisture impacts on soil-plant-atmospher
Funded by NSF EAGER this project aims to 1) extract leaf appearance rates from images and train a genomic prediction algorithm to predict leaf appearance rate from genotypic data and 2) combine the genomic prediction algorithm with the A
Funded by USDA-NIFA this project aims to: 1) conduct field and lab experiments to develop new fundamental knowledge on corn and soybean residue decomposition dynamics at the organ level; 2) incorporate experimental results into a dynamic simulatio
This project aims to 1) test APSIM's ability in simulating long term corn yield response to nitrogen and crop rotation using data from 14 locations (each with 10 to 20 years of data) in Iowa and Illinois, 2) use the model to better understand the
This project aims to test and potentially improve the simulation of root attributes in APSIM Next Gen models: maximum depth, root front velocity, root mass production and decomposition, root length, root N and C concentration per soil layer and to
Funded by Stine Seeds this project aims to 1) determine yield differences among six production systems having different plant arrangements and genotypes at scale, 2) perform a systems analysis to quantify how different plant arrangements and genot
